Article (Scientific journals)
Edge Computing and Artificial Intelligence Semantically Driven. Application to a Climatic Enclosure
Debauche, Olivier; mahmoudi, Said; mahmoudi, Sidi Ahmed et al.
2020In Procedia Computer Science, 175, p. 542-547
Peer reviewed
 

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Keywords :
phytotron; climatic enclosure; growth chamber; pogona; semantic rules; Internet of Things
Abstract :
[en] Climatic chamber are enclosures where the ambient conditions, i.e. the temperature and humidity, are finely controlled. This one can play multiple roles such as the cultivation of plants (phytotron), the breeding of insects or habitat for exotic animals. The availability on the market of a wide variety of equipment makes it di cult to share settings and operating recipes. In this paper, we propose a versatile and automated modular climatic enclosure system that can be adapted according to the use cases and available material. In this paper, we use IoT device virtual representation, data validation by means AI algorithm, the semantic description of material, and ontology locally deployed from the cloud allowing to automate the local installation with container technology.
Disciplines :
Computer science
Author, co-author :
Debauche, Olivier  ;  Université de Liège - ULiège > Terra
mahmoudi, Said
mahmoudi, Sidi Ahmed
Manneback, Pierre
Lebeau, Frédéric  ;  Université de Liège - ULiège > Département GxABT > Biosystems Dynamics and Exchanges
Language :
English
Title :
Edge Computing and Artificial Intelligence Semantically Driven. Application to a Climatic Enclosure
Publication date :
06 August 2020
Journal title :
Procedia Computer Science
eISSN :
1877-0509
Publisher :
Elsevier, Amsterdam, Netherlands
Volume :
175
Pages :
542-547
Peer reviewed :
Peer reviewed
Available on ORBi :
since 21 June 2020

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